Model benchmarks
Qwen3.6-27B-MLX-8bit local LLM performance
As of July 2026, Qwen3.6-27B-MLX-8bit runs at up to 11.3 tok/s for local inference (best of 4 community benchmark runs across 1 GPU).
oMLX
Model size
27B
Peak speed
11.3 tok/s
Average speed
7.5 tok/s
Min memory
32.9 GB
Max context
6,687 tokens
Best quality
91.0
Benchmark runs
4
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.6-27B-MLX-8bit has been benchmarked on, ranked by peak token generation speed. Last updated July 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| Apple M5 Max | oMLX | — | 11.3 tok/s | 7.5 tok/s | 32.9 GB | 6,687 tokens | 76.6 | 4 |
Frequently asked questions
- How fast is Qwen3.6-27B-MLX-8bit for local inference?
- Across 4 community benchmark runs, Qwen3.6-27B-MLX-8bit reaches up to 11.3 tok/s and averages 7.5 tok/s, with the fastest results on Apple M5 Max.
- How much memory does Qwen3.6-27B-MLX-8bit need?
- The leanest observed configuration used about 32.9 GB of memory.
- Which tools have been used to run Qwen3.6-27B-MLX-8bit?
- Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.